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models algorithm » mould algorithm (Expand Search), deer algorithm (Expand Search)
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based models » based modeling (Expand Search)
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21
An algorithm for solving bond pricing problem
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22
Kernelization algorithms for the vertex cover problem
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conferenceObject -
23
High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
Published 2025“…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …”
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24
Fuzzy genetic algorithm for floorplanning
Published 2020“…In the proposed FGA, the fitness of individuals is evaluated based on fuzzy logic rules expressed on linguistic variables modeling the desired objective criteria of the problem domain. …”
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25
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
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doctoralThesis -
26
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
Published 2018“…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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27
A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM
Published 2020“…The global minimum solution of the problem is found using a simulated annealing-based algorithm. …”
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28
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…These complementary tools and technologies are used to launch systematic attacks on combinatorial problems of significance. …”
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conferenceObject -
29
Evolutionary algorithm for protein structure prediction
Published 2010“…In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …”
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conferenceObject -
30
Improvement Algorithm for Limited Space Scheduling
Published 2001“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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31
A Parallel Genetic Algorithm for the Open-Shop Scheduling Problem Using Deterministic and Random Moves
Published 2016“…This paper investigates the use of parallel genetic algorithms in order to solve the open-shop scheduling problem. …”
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32
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
33
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. …”
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34
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …”
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35
Algorithmic Study of Online Multi-Facility Location Problems
Published 2022“…This is known as the Multi-Facility Location problem (MFL) and has been studied in the offline setting, in which the entire input sequence is given to the algorithm at once. …”
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36
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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37
A direct algorithm for the parameterized face cover problem
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conferenceObject -
38
Scatter search for protein structure prediction. (c2008)
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masterThesis -
39
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
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40
Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System
Published 2024“…<p dir="ltr">The arbitrary selection of the Crow Search Algorithm (CSA) parameters, the Awareness Probability (AP) and the Flight Length (fl) results in poor convergence performance and efficiency even if the CSA performs well when solving global optimization problems. …”